Machine Learning Architect - Not an Active Opening, Building Talent Pipeline

Caylent; Canada; On-site; CAD 152,000 - 171,000; Full time

Benefits offered by this job

Medical Insurance

Flexible PTO

Paid certification exams

Peer bonus awards

State-of-the-art laptop

Office stipend

Learning and Development stipend

Job summary

A cloud-native services company is seeking a Machine Learning Architect to join its Cloud Native Applications team. This role requires expertise in ML system design and AWS solutions. You will work collaboratively to guide both team members and clients through agile processes, automate software testing, and mentor peers. The expected compensation ranges from CAD $152,000 to $171,000 annually. Join a diverse team in a fully remote setup, focusing on innovation and excellence.

Qualifications

• Experience guiding Agile ceremonies and translating customer requirements into actionable tasks.
• Ability to communicate complex technical concepts clearly to non-technical audiences.
• Expertise in MLOps tools and libraries relevant to machine learning.

Responsibilities

• Guide customers and team through Agile processes.
• Translate customer needs into a backlog of engineering tasks.
• Lead discussions on architecture and requirements.
• Troubleshoot issues in different customer environments.

Skills

Customer Experience

Communication

Experience with IaC tools

Expert level in Amazon SageMaker

Strong understanding of ML concepts

Familiarity with MLOps tools

Tools

CloudFormation

Terraform

TensorFlow

MXNet

PyTorch

Scikit-learn

Job description

Caylent is a cloud native services company that helps organizations bring the best out of their people and technology using Amazon Web Services (AWS). We provide a full-range of AWS services including workload migrations and modernization, cloud native application development, DevOps, data engineering, security and compliance, and everything in between.

At Caylent, our people always come first. We are a global company and operate fully remote with employees in Canada, the United States, and Latin America. We celebrate the culture of each of our team members and foster a community of technological curiosity. Come talk to us to learn more about what it means to be a Caylien!

Note: This isn’t an active role right now, but we’re building a community of great talent for future opportunities at Caylent. If your background aligns with what we’re looking for, our team may reach out to learn more about you and explore potential future fits.

The Mission

We are seeking an exceptional Machine Learning Architect to join our growing Cloud Native Applications team. The right candidate is someone who has deep expertise in ML system design and is passionate about working with our customers, partners, and colleagues to drive innovation forward. Your mission will be to work alongside Caylent’s Engineers, Engineering Managers, and Project Managers to deliver AWS solutions across our diverse and forward-thinking customer base. You’ll work with the latest technologies and support customers looking to bring cutting‑edge ideas to market.

Your Assignment

• You will be a mission control specialist, guiding Cayliens and Customers alike through Agile ceremonies like stand‑ups, retrospectives, and more.
• You will translate customer requirements into a workable backlog of tickets for engineers.
• Delegate tickets to a team of engineers in order to complete customer projects.
• Lead requirements gathering, backlog grooming, and architecture discussions.
• Apply your understanding of DevOps pipelines, including build automation, branching strategies, CI/CD, Infrastructure as Code, security, monitoring, logging, and alerting.
• Troubleshoot and resolve issues in customer dev, test, and production environments.
• Automate software testing at multiple levels (component, configuration item, subsystem, system) and monitor results.
• Write production‑quality code, including unit and integration tests.
• Work with a team to deliver top‑quality cloud native applications on AWS for customers.
• Clearly communicate and document your designs, processes, and procedures.
• Demonstrate a passion to stay curious as you mentor peers, tackle new technologies, and learn from our world‑class team of engineers.
• Coach and mentor less experienced teammates, coach and be mentored by world‑class engineers.

Your Qualifications

Core Consulting Qualifications

Customer Experience

• Confidently addresses client questions and identifies gaps in requirements with proposed next steps.
• Focus on delivering clear, actionable solutions that meet client goals.
• Facilitates alignment across stakeholders or technical priorities and deliverables.
• Navigates differing perspectives with professionalism to ensure shared understanding and progress.

Communication

• Breaks down complex technical concepts for non‑technical audiences in a clear, concise manner.
• Adapts communication style based on audience and context to improve clarity and decision‑making.

Technical Qualifications

• Experience with IaC tools (CloudFormation, CDK, Terraform).
• Expert level experience in Amazon SageMaker and ML libraries (TensorFlow, MXNet, PyTorch, Scikit-learn).
• Strong understanding of ML concepts: feature engineering, hyperparameter tuning, optimization strategies.
• Familiarity with MLOps tools (MLflow, Neptune, Comet).

Benefits

• Medical Insurance for you and eligible dependents.
• Generous holidays and flexible PTO.
• Paid for exams and certifications.
• Peer bonus awards.
• State‑of‑the‑art laptop and tools.
• Equipment & Office stipend.
• Annual stipend for Learning and Development.
• Work with an amazing worldwide team and in an incredible corporate culture.

Base Salary Range: The expected base salary range for this position is CAD $152,000 - $171,000 per year, commensurate with experience and qualifications.

Additional Compensation Components: In addition to the base salary, the compensation package may include bonuses, commissions, equity, and other incentives. The specific components will vary depending on the role and individual and/or company performance.

This role may require up to 25% travel, depending on business needs.

NOTE: We’re unable to provide visa sponsorship now or at any time in the future.

At Caylent, we are committed to fair, transparent, and inclusive hiring practices. As part of our recruitment process, we may use artificial intelligence (AI) tools or automated systems to assist with the screening and evaluation of applications to help match candidate qualifications with job requirements. These tools are designed to support — not replace — human decision‑making. Final hiring decisions are always made by our trained recruitment professionals. If an AI or automated tool is used during your application process, it will only be in accordance with applicable laws and regulations, and your information will be handled in a secure and confidential manner. If you have any questions, please contact [e-mail].

Caylent is a place where everyone belongs. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at Caylent.

We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at [e-mail].